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Saferch - SAFe resEarRCH

A Network Dynamics tool using Networkx Difussion Library (NDLib) that analyzes a given Research Institution / Company communications Network and provides insights about how strong is against attacks.

This code also introduces some Networkx metrics and Community Detection algorithm and performs everything on a single run using main.py.

Paper

See our preprint for more information: https://arxiv.org/abs/2012.11699

@misc{gutierrezfandino2020vulnerability,
      title={A Vulnerability Study on Academic Collaboration Networks Based on Network Dynamics}, 
      author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Marta Villegas},
      year={2020},
      eprint={2012.11699},
      archivePrefix={arXiv},
      primaryClass={cs.CR}
}

Remember, if this work helps, please, cite it.

Disclaimer

This code is for research purposes only. You are not allowed to scrap Google Search Results or to missuse the Have I Been Pwned website as it can be seen as a DDoS attack.

Use at your own risk.

About the code

The code is distributed "as is" without any guarantee.

About

Communication network virus/phishing/... spread simulation analysis focused on Research Institutions.

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